Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications
Indexed incrossref
Abstract
The rapid advancement of mobile networks highlights the limitations of traditional network planning and optimization methods, particularly in modeling, evaluation, and application. Network Digital Twins, which simulate networks in the digital domain for evaluation, offer a solution to these challenges. This concept is further enhanced by generative AI technology, which promises more efficient and accurate AI-driven data generation for network simulation and optimization. This survey provides insights into generative AI-empowered network digital twins. We begin by outlining the architecture of a network digital twin, which encompasses both digital and physical domains. This architecture involves four key steps:…
Citation impact
57
total citations
- FWCI
- 68.23
- Percentile
- 100%
- References
- 168
Citations per year
Authors
9Topics & keywords
Topics
Keywords
- Computer science
- Bridging (networking)
- Generative grammar
- Network architecture
- Key (lock)
- Artificial intelligence
- Data science
- Distributed computing
No related works found for this paper.